Research/Academic

PhD in artificial intelligence, with research on neuro-symbolic architectures for natural language comprehension applied across energy, healthcare and finance.

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Doctoral thesis

Neuro-Symbolic Architectures for Natural Language Comprehension

Ph.D. in Natural Language Processing and Data AI · La Trobe University · 2024 · 200 pages

My doctoral research developed neuro-symbolic architectures for natural language comprehension, pairing neural models with symbolic structure, and applied them to real problems across energy, healthcare and finance. The work produced publications in Q1 journals and two best-paper awards.

Fig. 3.12: Proposed framework of neuro-symbolic architectures for NLC

Journal articles

6

Conference papers

11

Preprints & abstracts

2

Achievements

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